Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
First Independent Research Support & Transition (FIRST) Awards (R29)
Project #
5R29HG000376-04
Application #
3470829
Study Section
Epidemiology and Disease Control Subcommittee 2 (EDC)
Project Start
1988-09-28
Project End
1993-08-31
Budget Start
1991-09-01
Budget End
1992-08-31
Support Year
4
Fiscal Year
1991
Total Cost
Indirect Cost
Name
University of Michigan Ann Arbor
Department
Type
Schools of Public Health
DUNS #
791277940
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
Flickinger, Matthew; Jun, Goo; Abecasis, Gonçalo R et al. (2015) Correcting for Sample Contamination in Genotype Calling of DNA Sequence Data. Am J Hum Genet 97:284-90
Moutsianas, Loukas; Agarwala, Vineeta; Fuchsberger, Christian et al. (2015) The power of gene-based rare variant methods to detect disease-associated variation and test hypotheses about complex disease. PLoS Genet 11:e1005165
Ma, Clement; Boehnke, Michael; Lee, Seunggeun et al. (2015) Evaluating the Calibration and Power of Three Gene-Based Association Tests of Rare Variants for the X Chromosome. Genet Epidemiol 39:499-508
Zawistowski, Matthew; Reppell, Mark; Wegmann, Daniel et al. (2014) Analysis of rare variant population structure in Europeans explains differential stratification of gene-based tests. Eur J Hum Genet 22:1137-44
Wang, Chaolong; Zhan, Xiaowei; Bragg-Gresham, Jennifer et al. (2014) Ancestry estimation and control of population stratification for sequence-based association studies. Nat Genet 46:409-15
Lee, Seunggeung; Abecasis, Gonçalo R; Boehnke, Michael et al. (2014) Rare-variant association analysis: study designs and statistical tests. Am J Hum Genet 95:5-23
Reppell, Mark; Boehnke, Michael; Zöllner, Sebastian (2014) The impact of accelerating faster than exponential population growth on genetic variation. Genetics 196:819-28
DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium (see original citation for additional authors) (2014) Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility. Nat Genet 46:234-44
Ma, Clement; Blackwell, Tom; Boehnke, Michael et al. (2013) Recommended joint and meta-analysis strategies for case-control association testing of single low-count variants. Genet Epidemiol 37:539-50
Thompson, John R; Gögele, Martin; Weichenberger, Christian X et al. (2013) SNP prioritization using a Bayesian probability of association. Genet Epidemiol 37:214-21

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